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Generative Topic Embedding: a Continuous Representation of Documents
  (Extended Version with Proofs)
v1v2 (latest)

Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs)

9 June 2016
Shaohua Li
Tat-Seng Chua
Jun Zhu
Chunyan Miao
ArXiv (abs)PDFHTML

Papers citing "Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs)"

23 / 23 papers shown
Title
Protein Language Models and Structure Prediction: Connection and
  Progression
Protein Language Models and Structure Prediction: Connection and Progression
Bozhen Hu
Jun Xia
Jiangbin Zheng
Cheng Tan
Yufei Huang
Yongjie Xu
Stan Z. Li
106
43
0
30 Nov 2022
Modelling Monotonic and Non-Monotonic Attribute Dependencies with
  Embeddings: A Theoretical Analysis
Modelling Monotonic and Non-Monotonic Attribute Dependencies with Embeddings: A Theoretical Analysis
Steven Schockaert
59
2
0
28 Jun 2021
Deriving Word Vectors from Contextualized Language Models using
  Topic-Aware Mention Selection
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection
Yixiao Wang
Zied Bouraoui
Luis Espinosa Anke
Steven Schockaert
69
4
0
15 Jun 2021
Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells
Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells
Griffin Adams
Mert Ketenci
Shreyas Bhave
A. Perotte
Noémie Elhadad
BDL
87
0
0
29 Sep 2020
Emerging App Issue Identification via Online Joint Sentiment-Topic
  Tracing
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing
Cuiyun Gao
Jichuan Zeng
Zhiyuan Wen
David Lo
Xin Xia
Irwin King
Michael R. Lyu
67
21
0
23 Aug 2020
SLAM-Inspired Simultaneous Contextualization and Interpreting for
  Incremental Conversation Sentences
SLAM-Inspired Simultaneous Contextualization and Interpreting for Incremental Conversation Sentences
Yusuke Takimoto
Yosuke Fukuchi
Shoya Matsumori
M. Imai
66
2
0
29 May 2020
P-SIF: Document Embeddings Using Partition Averaging
P-SIF: Document Embeddings Using Partition Averaging
Vivek Gupta
A. Saw
Pegah Nokhiz
Praneeth Netrapalli
Piyush Rai
Partha P. Talukdar
80
25
0
18 May 2020
Topical Phrase Extraction from Clinical Reports by Incorporating both
  Local and Global Context
Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context
Gabriele Pergola
Yulan He
D. Lowe
25
5
0
22 Nov 2019
Improving Document Classification with Multi-Sense Embeddings
Improving Document Classification with Multi-Sense Embeddings
Vivek Gupta
A. Saw
Pegah Nokhiz
Harshit Gupta
Partha P. Talukdar
86
15
0
18 Nov 2019
Topic Modeling in Embedding Spaces
Topic Modeling in Embedding Spaces
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
BDL
319
696
0
08 Jul 2019
Mixing syntagmatic and paradigmatic information for concept detection
Mixing syntagmatic and paradigmatic information for concept detection
L. Chartrand
Mohamed Bouguessa
64
2
0
09 Apr 2019
Column2Vec: Structural Understanding via Distributed Representations of
  Database Schemas
Column2Vec: Structural Understanding via Distributed Representations of Database Schemas
Michael J. Mior
Alexander Ororbia
48
2
0
20 Mar 2019
ClassiNet -- Predicting Missing Features for Short-Text Classification
ClassiNet -- Predicting Missing Features for Short-Text Classification
Danushka Bollegala
Vincent Atanasov
Takanori Maehara
Ken-ichi Kawarabayashi
GNN
54
16
0
14 Apr 2018
Topic Modeling based on Keywords and Context
Topic Modeling based on Keywords and Context
Johannes Schneider
81
20
0
07 Oct 2017
Decontamination of Mutual Contamination Models
Decontamination of Mutual Contamination Models
Julian Katz-Samuels
Gilles Blanchard
Clayton Scott
193
24
0
30 Sep 2017
Improve Lexicon-based Word Embeddings By Word Sense Disambiguation
Improve Lexicon-based Word Embeddings By Word Sense Disambiguation
Y. Ke
M. Hagiwara
38
1
0
24 Jul 2017
Efficient Correlated Topic Modeling with Topic Embedding
Efficient Correlated Topic Modeling with Topic Embedding
Junxian He
Zhiting Hu
Taylor Berg-Kirkpatrick
Ying Huang
Eric Xing
96
48
0
01 Jul 2017
Jointly Learning Word Embeddings and Latent Topics
Jointly Learning Word Embeddings and Latent Topics
Bei Shi
Wai Lam
Shoaib Jameel
Steven Schockaert
K. Lai
BDL
88
80
0
21 Jun 2017
Dirichlet-vMF Mixture Model
Dirichlet-vMF Mixture Model
Shaohua Li
30
0
0
24 Feb 2017
LTSG: Latent Topical Skip-Gram for Mutually Learning Topic Model and
  Vector Representations
LTSG: Latent Topical Skip-Gram for Mutually Learning Topic Model and Vector Representations
Jarvan Law
Hankui Zhuo
Junhua He
Erhu Rong
BDL
48
18
0
23 Feb 2017
Alleviating Overfitting for Polysemous Words for Word Representation
  Estimation Using Lexicons
Alleviating Overfitting for Polysemous Words for Word Representation Estimation Using Lexicons
Y. Ke
M. Hagiwara
55
2
0
02 Dec 2016
Fuzzy paraphrases in learning word representations with a lexicon
Y. Ke
M. Hagiwara
149
0
0
02 Nov 2016
PSDVec: a Toolbox for Incremental and Scalable Word Embedding
PSDVec: a Toolbox for Incremental and Scalable Word Embedding
Shaohua Li
Jun Zhu
Chunyan Miao
56
15
0
10 Jun 2016
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